Dileep Sivadas
Data Science Manager @InGenius Prep
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WORK HISTORY
Data Science Manager @InGenius Prep
ON, CA
Designed and deployed an enterprise-grade RAG-based chatbot using Azure OpenAI and Cognitive Search, providing instant, document-aware responses for admissions and counseling teams.Architected a complete Azure AI Search pipeline, indexing 20+ Word, Excel, and PDF sources for contextual Q&A.Built a Sales Intelligence Web App recommending colleges using profiles, success data, and admission trends.Developed a Counselor Matchmaking Platform to recommend and auto-assign FAO/GCs based on preferences, capacity, and specialization.Automated counselor slot allocation and data sync via Google Sheets API, reducing manual effort.Designed interactive finance dashboards in NSAW, tracking revenue, COGS, and OPEX across subsidiaries.Integrated NetSuite ERP, Snowflake, and Azure Synapse into unified analytics workflows for real-time reporting.Customized NSAW datasets with advanced joins, hierarchies, and metrics in Oracle Analytics Cloud (OAC).Automated ETL and data refresh pipelines using Python + SQL, improving dashboard latency by 40%.Implemented data governance, access control, and encryption frameworks across Azure and NetSuite.Partnered cross-functionally (Finance, Sales, Admissions, Marketing) to deliver scalable, automated BI solutions and trained users on analytics and chatbot maintenance.
EDUCATION
University of Windsor
Master of Engineering - MEng
Cochin University of Science and Technology
Engineer’s Degree
ABOUT DILEEP SIVADAS
Data professional with nearly 6+ years of experience in designing, building, and maintaining scalable data pipelines and cloud-based data platforms. Strong expertise in SQL, Azure, Snowflake, Matillion, and Apache Airflow, with hands-on experience in batch and real-time ETL pipelines. Proven ability to automate data ingestion, improve data quality, and optimize processes. Experienced in delivering analytics and dashboards using Tableau and NetSuite Analytics Warehouse (NSAW), and in building modern data solutions including RAG-based AI chatbots, Streamlit and Flask applications, automation workflows, and intelligent data-driven systems. Strong analytical, problem-solving, and communication skills.
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